Systems and methods for managing regimen adherence

Abstract

Systems and methods are provided for managing medical adherence. An exemplary method may include managing medical adherence utilizing data aggregating and processing to determine impact on a user's health based on their behavior related to prescribed medication. The method may entail utilizing data related to a medication regimen and patient behavior to determine a patient's compliance to the regimen in terms of dosage and time. These values may be utilized to calculate a medical adherence value representing a patient's adherence to a prescribed regimen. Responsive to determining low medical adherence, a notification may be generated which may result in an intervention with the patient.

1 - 27 . (canceled) 
     
     
         28 . A computer-implemented method for managing adherence of a user to a prescribed medical regimen, the method comprising:
 receiving, using a processor, regimen data and user data, wherein the regimen data includes information about one or more items or steps relating to a diet;   receiving survey data input by the user into an electronic device, the survey data relating to the diet;   calculating a familiarity metric for each of the one or more items or steps based on the quantity and/or accuracy of the received survey data, wherein calculating the familiarity metric includes finding a reduced familiarity metric if the user input erroneous data or less than a threshold amount of data relating to the diet;   generating a notification when the familiarity metric is less than a familiarity threshold value; and   transmitting the notification to the electronic device, wherein the notification contains one or more intervention options.   
     
     
         29 . The computer-implemented method of  claim 28 , wherein the one or more intervention options include administration of a survey or explanation to the user, via the electronic device, of benefits of following the regimen and impact of failure to follow the regimen. 
     
     
         30 . The computer-implemented method of  claim 28 , wherein:
 the regimen data also includes information about one or more items or steps relating to an insulin medication;   the survey data also includes data relating to the insulin medication;   calculating the familiarity metric also includes finding a reduced familiarity metric if the user input erroneous data or less than a threshold amount of data relating to the insulin medication; and the method further includes:
 calculating a compliance to time for each of the one or more items or steps relating to the insulin medication including determining whether the user consumed the insulin medication within a window of time; 
 determining an adherence value based on the compliance to time; and 
 generating a second notification when adherence value is less than an adherence threshold value. 
   
     
     
         31 . The computer-implemented method of  claim 30 , wherein the window of time is based on a timing of a meal consumed after the insulin medication, and a dosage of the insulin medication consumed. 
     
     
         32 . The computer-implemented method of  claim 30 , further including:
 calculating a compliance to quantity for each of the one or more items or steps relating to the insulin medication;   calculating an adherence count associated with each of the one or more items or steps by combining the compliance to quantity, the compliance to time, and the familiarity metric associated with each of the one or more items or steps;   determining a periodic adherence value for each of the one or more items or steps by combining the adherence counts associated with each of the one or more items or steps over a period of time;   determining a periodic regimen adherence value by summing the periodic adherence values of all of the one or more items or steps;   calculating a periodic regimen baseline value by re-calculating the periodic regimen adherence value using a maximum potential value for the periodic adherence value for each of the one or more items or steps; and   wherein the overall adherence value also is based on the periodic regimen adherence value and the periodic regimen baseline value.   
     
     
         33 . The computer-implemented method of  claim 32 , wherein:
 receiving the regimen data further comprises receiving an importance factor associated with each of the one or more items or steps;   determining a periodic adherence value for each of the one or more items or steps comprises determining the periodic adherence for each of the one or more items or steps based on the adherence count and the importance factor associated with each of the one or more items or steps; and   determining the periodic adherence value for each of the one or more items or steps based on the adherence count and the importance factor associated with each of the one or more items or steps comprises multiplying the adherence count and the importance factor.   
     
     
         34 . The computer-implemented method of  claim 32 , wherein calculating the compliance to quantity comprises:
 determining a prescribed quantity for each of the one or more items or steps;   assigning quantity boolean values for actual quantity based on the prescribed quantity and the received survey data; and   calculating the compliance to quantity based on the assigned quantity boolean values.   
     
     
         35 . The computer-implemented method of  claim 30 , wherein calculating the compliance to time further comprises:
 determining a prescribed time for each of the one or more items or steps based on a timing of a meal;   assigning time boolean values for actual time based on the prescribed time and the received data; and   calculating the compliance to time based on the assigned time boolean values.   
     
     
         36 . The computer-implemented method of  claim 28 , further comprising:
 assigning a unique regimen identity to the regimen; and   assigning unique identities to each of the one or more items or steps based on the unique regimen identity.   
     
     
         37 . The computer-implemented method of  claim 28 , wherein the user is diagnosed with diabetes. 
     
     
         38 . The computer-implemented method of  claim 30 , wherein the user data includes blood glucose levels of the user. 
     
     
         39 . A system for managing adherence of a user to a prescribed medical regimen, the system comprising:
 a memory having processor-readable instructions stored therein; and   a processor configured to access the memory and execute the processor-readable instructions, which, when executed by the processor, configures the processor to perform a method, the method comprising:
 receiving regimen data including information about one or more items or steps relating to an insulin medication; 
 calculating a familiarity metric for each of the one or more items or steps based on survey data input by the user into an electronic device; 
 generating a notification when the familiarity metric is less than a familiarity threshold value; and 
 transmitting the notification to the electronic device, wherein the notification contains one or more intervention options. 
   
     
     
         40 . The system of  claim 39 , wherein calculating the familiarity metric includes finding a reduced familiarity metric if the user input erroneous data or less than a threshold amount of data relating to the insulin medication. 
     
     
         41 . The system of  claim 39 , wherein the one or more intervention options include administration of a survey or explanation to the user, via the electronic device, of benefits of following the regimen and impact of failure to follow the regimen. 
     
     
         42 . The system of  claim 39 , further including transmitting the notification to an electronic device of a medical professional. 
     
     
         43 . The system of  claim 39 , wherein the method further comprises:
 assigning a unique regimen identity to the regimen; and   assigning respective unique identities to each of the one or more items or steps based on the unique regimen identity.   
     
     
         44 . A non-transitory computer-readable medium storing instructions, the instructions, when executed by a computer system, cause the computer system to perform a method, the method comprising:
 receiving, using a processor, regimen data including information about one or more items or steps relating to each of an insulin medication and a diet;   calculating a familiarity metric for each of the one or more items or steps based on survey data input by the user into an electronic device;   generating a notification when the familiarity metric is less than a familiarity threshold value; and   transmitting the notification to the electronic device of the user.   
     
     
         45 . The non-transitory computer-readable medium of  claim 44 , wherein calculating the familiarity metric includes finding a reduced familiarity metric if the user input erroneous data or less than a threshold amount of data relating to one or more of the insulin medication or the diet. 
     
     
         46 . The non-transitory computer-readable medium of  claim 44 , wherein the notification includes administration of a survey or explanation to the user, via the electronic device, of benefits of following the regimen and impact of failure to follow the regimen. 
     
     
         47 . The non-transitory computer-readable medium of  claim 44 , further including transmitting the notification to an electronic device of a medical professional.